Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. The applications being observed may be developed internally, as packaged applications or as software as a service (SaaS).” But what differentiates one APM offering from another?

Artificial Intelligence 227

Artificial Intelligence Monitoring Infrastructure Cloud 227

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits.

Logistics 52

Logistics Retail Analytics Azure 52

All Things Distributed

MAY 3, 2017

They have invested the time to perfect their processes and develop high-quality products for their customers. Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. can connect seamlessly to the cloud. This has paid off – and continues to do so.

Logistics 72

Logistics IoT Analytics Innovation 72

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Adrian Cockcroft

FEBRUARY 13, 2023

There was some new sustainability information that was quietly added to Amazon’s Sustainability in the Cloud page in October 2022 that is significant. I’m working with Aerin on a Sustainability in the Cloud Maven class in the UK at the moment, and we’re looking for attendees. But they didn’t go out of their way to promote it.

AWS 64

AWS Energy Architecture Programming 64

Apica

NOVEMBER 15, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Support for capacity planning, including “prescale clustering” –The Cloud, by definition, has no capacity limit, and many organizations rely on dynamic scaling to address usage spikes.

Performance Testing 40

Performance Testing Testing Performance Games 40

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing. Making the best use of Azure Functions.

Azure 136

Azure Serverless IoT Lambda 136

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., Amazon Redshift, DynamoDB, Amazon EMR) whereas insights need to be derived by not just developers but also non-technical business users. Big data challenges. Enter Amazon QuickSight.

Cloud 137

Cloud Big Data AWS Analytics 137

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS IoT Analytics. AWS IoT Things Graph.

AWS 265

AWS Cloud IoT Database 265

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. For many IoT applications involving wireless video sensors (e.g. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Business benefits include: Improved developer and operational productivity. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

All Things Distributed

JULY 14, 2015

Many happy developers are using DynamoDB to handle trillions of requests every day. For cost and manageability reasons, some developers have collocated the extract job, the search cluster, and data warehouses on the same box, leading to performance and scalability compromises.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

The answer for me is simple: Developers want their applications to be well architected and scale effectively. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases. The opposite is true.

Database 167

Database AWS Games Latency 167

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 52

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Unfortunately, due to the lack of a good developer experience (DX) total cost of ownership of a traditional CMS and implementation failure rate remains all-time high.

Systems 63

Systems Cache Website Network 63

All Things Distributed

NOVEMBER 15, 2016

QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions. Along with data generated in the cloud, customers also have legacy data sitting in on-premises datacenters, scattered on user desktops, or stored in SAS applications. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. IoT Test Automation. Better and quicker services are urgently needed today.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92